{"total":48,"rows":[{"id":"2108.06266","title":"Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning","created":"2021-08-13","cited_by_count":371,"area":null},{"id":"2207.03530","title":"VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning","created":"2022-07-07","cited_by_count":68,"area":null},{"id":"2109.06325","title":"safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics","created":"2021-09-13","cited_by_count":50,"area":null},{"id":"2312.11460","title":"Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response","created":"2023-12-18","cited_by_count":39,"area":null},{"id":"2309.12825","title":"OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control","created":"2023-09-22","cited_by_count":33,"area":null},{"id":"2311.13081","title":"Learning to Fly in Seconds","created":"2023-11-22","cited_by_count":31,"area":null},{"id":"2310.10810","title":"Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms","created":"2023-10-16","cited_by_count":25,"area":null},{"id":"2309.01909","title":"A Survey on Physics Informed Reinforcement Learning: Review and Open Problems","created":"2023-09-05","cited_by_count":24,"area":null},{"id":"2203.07676","title":"An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility","created":"2022-03-15","cited_by_count":16,"area":null},{"id":"2412.16346","title":"SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum","created":"2024-12-20","cited_by_count":16,"area":null},{"id":"2406.15149","title":"Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks","created":"2024-06-21","cited_by_count":14,"area":null},{"id":"2305.09793","title":"Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions","created":"2023-05-16","cited_by_count":13,"area":null},{"id":"2312.05019","title":"Vision-based Learning for Drones: A Survey","created":"2023-12-08","cited_by_count":11,"area":null},{"id":"2202.06557","title":"Reinforcement Learning in Presence of Discrete Markovian Context Evolution","created":"2022-02-14","cited_by_count":9,"area":null},{"id":"2109.09974","title":"Adaptive Control of SE(3) Hamiltonian Dynamics with Learned Disturbance Features","created":"2021-09-21","cited_by_count":6,"area":null},{"id":"2212.01346","title":"Guaranteed Conformance of Neurosymbolic Models to Natural Constraints","created":"2022-12-02","cited_by_count":6,"area":null},{"id":"2302.04094","title":"Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation","created":"2023-02-08","cited_by_count":6,"area":null},{"id":"2306.02006","title":"MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning","created":"2023-06-03","cited_by_count":6,"area":null},{"id":"2404.05051","title":"Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint","created":"2024-04-07","cited_by_count":6,"area":null},{"id":"2409.16720","title":"Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning","created":"2024-09-25","cited_by_count":6,"area":null},{"id":"2306.09537","title":"QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control","created":"2023-06-15","cited_by_count":5,"area":null},{"id":"2412.08428","title":"SwarmGPT: Combining Large Language Models with Safe Motion Planning for Drone Swarm Choreography","created":"2024-12-11","cited_by_count":5,"area":null},{"id":"2603.28032","title":"CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence","created":"2026-03-30","cited_by_count":5,"area":null},{"id":"2201.01369","title":"Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors","created":"2022-01-04","cited_by_count":4,"area":null},{"id":"2203.08072","title":"Neural Solvers for Fast and Accurate Numerical Optimal Control","created":"2022-03-13","cited_by_count":4,"area":null},{"id":"2409.09536","title":"VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2503.17395","title":"CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions","created":"2025-03-18","cited_by_count":4,"area":null},{"id":"2512.04770","title":"Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges","created":"2025-12-04","cited_by_count":4,"area":null},{"id":"2205.04590","title":"A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems","created":"2022-05-09","cited_by_count":3,"area":null},{"id":"2410.13002","title":"Flex: End-to-End Text-Instructed Visual Navigation from Foundation Model Features","created":"2024-10-16","cited_by_count":3,"area":null},{"id":"2509.10247","title":"DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning","created":"2025-09-12","cited_by_count":3,"area":null},{"id":"2512.04745","title":"An Energy-Based Mechanism for Compositional Behavior","created":"2025-12-04","cited_by_count":2,"area":null},{"id":"2206.09590","title":"From Multi-agent to Multi-robot: A Scalable Training and Evaluation Platform for Multi-robot Reinforcement Learning","created":"2022-06-20","cited_by_count":1,"area":null},{"id":"2209.11094","title":"Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation","created":"2022-09-22","cited_by_count":1,"area":null},{"id":"2307.12287","title":"Decentralized Adaptive Formation via Consensus-Oriented Multi-Agent Communication","created":"2023-07-23","cited_by_count":1,"area":null},{"id":"2407.01563","title":"NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks","created":"2024-05-16","cited_by_count":1,"area":null},{"id":"2408.08847","title":"HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis","created":"2024-08-16","cited_by_count":1,"area":null},{"id":"2501.01136","title":"Symmetries-enhanced Multi-Agent Reinforcement Learning","created":"2025-01-02","cited_by_count":1,"area":null},{"id":"2504.12755","title":"Trajectory Adaptation using Large Language Models","created":"2025-04-17","cited_by_count":1,"area":null},{"id":"2504.15129","title":"Towards Task-Oriented Flying: Framework, Infrastructure, and Principles","created":"2025-04-21","cited_by_count":1,"area":null},{"id":"2606.01478","title":"Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX","created":"2026-05-31","cited_by_count":1,"area":null},{"id":"2306.03951","title":"Reinforcement Learning-Based Control of CrazyFlie 2.X Quadrotor","created":"2023-06-06","cited_by_count":0,"area":null},{"id":"2602.07264","title":"aerial-autonomy-stack -- a Faster-than-real-time, Autopilot-agnostic, ROS2 Framework to Simulate and Deploy Perception-based Drones","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2605.01787","title":"Zero-Shot, Safe and Time-Efficient UAV Navigation via Potential-Based Reward Shaping, Control Lyapunov and Barrier Functions","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.11509","title":"Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.02107","title":"Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2607.18604","title":"Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2610.06874","title":"Statistical Turbulence and High-Fidelity Disturbance Fields for Quadrotor Flight Control","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":null}